IoT Cloud-Sensor Secure Architecture for Smart …

1 IoT Cloud-Sensor Secure Architecture for Smart Home Syed Abdul Muqtader Razvi, Abdullah Al-Dhelaan, Mznah Al-Rodhaan and Riman A. Bin Sulaiman Department of Computer Science, King Saud University, Saudi Arabia Email: {dhelaan, Automatize the handling of Smart objects by providing an extra edge technology (anytime anywhere feature) by bringing those objects under the umbrella of Internet is the fundamental ideology of Internet of Things (IoT). With such perceptive, each device and any associated sensors needs to have an IP address to enable anytime anywhere feature. Moreover, for Smart object s automating to be efficient, these devices must be fitted with extra hardware that handles the process of decision making.}

2 However, these Smart objects are energy deficient devices and attaching an extra hardware to these devices will not be feasible solution. An efficient solution to this problem is the teaming of IoT and cloud Computing technologies. cloud Computing will provide virtualization feature to Smart objects in IoT environment by enabling the processes of decision making to be on cloud side thereby conserving the energy at Smart object s side. The cloud Computing models IaaS, PaaS and SaaS can provide virtualization at user side. A Cloud-Sensor Secure Architecture for Smart home in IoT environment is proposed in this paper, automation of processes is provided by cloud infrastructure, while the slave server on client side ensures the security of sensors and cloud Computing, Internet of Things, Smart Home Internet of Things (IoT) is the word coined to extend the current world of Internet to all physical quantities.

3 It encompasses of key technologies relating to identification, networks and data mining fields. Recent valuable researches and innovations in these related technologies are paving the way for IoT. Before connecting Smart objects to the world of Internet, it is essential to ensure that all security properties are met. cloud Computing can play a crucial role to ensure all security properties are met. cloud Computing is a technology that allows the individual to efficiently run applications and utilize the resource placed over the internet. It provides a request service model that makes the user worry-free about the implementation of applications.

4 One of the important aspects for teaming cloud Computing and IoT technologies is the automation of services. The feasible solution for fully utilizing the potential cloud computing and ubiquitous sensing is to develop a framework where cloud is at center [1]. With such internet centric Architecture associated sensor and actuators is the only need for devices in IoT. All the decision-making capabilities will be facilitated by the cloud utilizing the data from sensors. With cloud computing model the most effective and efficient tools from different providers like machine learning tools for converting information into knowledge, graphics for visualization etc, can be clustered into single environment to increase the productivity at the client side.

5 In the proposed paper, a cloud -based model is presented for Smart home. In an overview, the features that are required for Smart home are: (1) hiding of software s that is required for fulfilling of any particular service. (2) Supporting automatic decision making without users intervention. (3) Management of devices and associated sensors. The service provider through cloud provides all the services related to Smart home management. Scheduling management of the service is done by the service provider deciding what time it is appropriate to run a service. To do so service provider can use decision-making software to ease and automatize the process of scheduling.

6 The paper is organized as follows. Section 2 provides related data. Section 3 compares some of the available IoT tools against each other in terms of features that are essential for a tool to be efficient. Section 4 introduces cloud -based Architecture , explains features of related terminologies, explains the working and describes the lifetime of service. Section 5 provides a working scenario of Smart home that explains automation processes briefly. Finally, Section 6 presents the conclusion. WORKI nternet of Things is ought to establish its base in the world of internet and cloud computing can be nominated as a pillar to IoT.

7 The clouding models IaaS, PaaS and SaaS can facilitate the end users to efficiently accommodate the services. The cloud can be integrated with wireless sensors that allow easy accessing, sharing, collecting and searching of appropriate data for distinct applications. These sensors and their associated data can be provided to the clients on-fly terming new word Sensing as a Service (SnaaS) [2]. Architecture for IoT based on cloud [3] was proposed. Constrained Application Protocol (CoAP), a request/response web transfer interaction model is used for interacting with the things. The requesting and identification of resources is done through URIs using REST protocol.

8 HTTP protocol was used for sending the data in between cloud application and IoT things. According to [4] the barriers that are coming in path of sensor - cloud integration, to larger extend is related to establishment of data channels. It later on moved on to provide software tools for connector data channel. These tools eased the designer s task in handling of different network protocols. These provided tools work in self-contained manner for each user depend on the needs. It is also responsible to handle the job migration and mobility of users by recommencing the broken links. For rapid creations of applications and their Int'l Conf.

9 Security and Management | SAM'15 |243deployment [1] provided a framework for mapping with cloud API devices and sensors have limited resources due to whichprocessing of information at the data-site is not efficient. Thus to increase the efficiency of devices and sensors in IoT environment, it is appropriate to send the data to nodes or cloud where processing of information is possible. The on-demand model characteristic of cloud will allow to increase the processing complexity of IoT environment [5][6]. cloud will provide models that will allow development of decision making and prediction algorithm for IoT environment and these algorithms are supposed to be at low cost, efficient and also with low risk [7].

10 IoT involves huge amount of data that is non-structured or semi-structured [8], hence cloud is assumed to be most effective solution to the data produced by IoT environment. Several advantages can be seen in integration of IoT with cloud [8], where on one hand IoT can benefit from on-demand model characteristic of cloud while on other hand cloud will benefit from IoT by directly dealing with world of real things. ThingsWorx [9] first software development platform designed for the needs of the connected world with an explosion of connected sensors, devices, and equipment ("Things"). It provides a complete application design, runtime, and intelligence environment and allows organizations to rapidly create M2M applications and innovative solutions that allow the value found at the intersection of people, systems, and intelligent connected Things.